shaadclt / Vehicle-Tracking-Counting-YOLOv8

This Jupyter notebook project uses YOLOv8 for vehicle tracking and implements a line crossing detection algorithm. The system counts vehicles that cross a specified line in a video, annotates the frames, and generates an output video with visualizations.

Vehicle Tracking and Counting with YOLOv8

Overview

This Jupyter notebook project uses YOLOv8 for vehicle tracking and implements a line crossing detection algorithm. The system counts vehicles that cross a specified line in a video, annotates the frames, and generates an output video with visualizations.

Dependencies

• OpenCV
• Ultralytics YOLO
• supervision

Setup

1. Clone the repository:

   git clone https://github.com/shaadclt/Vehicle-Counter-YOLOv8.git
   cd Vehicle-Counter-YOLOv8

Usage

1. Open the Jupyter notebook:

jupyter notebook

2. Run the 'vehicle_counter.ipynb' notebook.

Configuration

• Adjust line coordinates: 'START' and 'END' in the notebook.
• Configure YOLOv8 model parameters as needed.

Results

The output video output_single_line.mp4 will be generated with annotated frames showing object tracks and the count of objects that crossed the line.

Acknowledgements

• This project uses the YOLOv8 model from Ultralytics.